Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction

Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image noise. How the DLR affects image quality and radiation dose reduction has yet to be fully investigated. Purpose To investigate a DLR algorithm's dose reduction and image quality improvement for pedia...

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Veröffentlicht in:	Radiology 2021-01, Vol.298 (1), p.180-188
Hauptverfasser:	Brady, Samuel L, Trout, Andrew T, Somasundaram, Elanchezhian, Anton, Christopher G, Li, Yinan, Dillman, Jonathan R
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Azygos Vein - diagnostic imaging Child Child, Preschool Common Bile Duct - diagnostic imaging Deep Learning Female Hepatic Veins - diagnostic imaging Humans Male Mesenteric Artery, Superior - diagnostic imaging Pediatrics - methods Quality Improvement Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Retrospective Studies Tomography, X-Ray Computed - methods Young Adult
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